{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\"\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1563, 4)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:30:00</th>\n",
       "      <td>3080.80</td>\n",
       "      <td>3080.49</td>\n",
       "      <td>3081.47</td>\n",
       "      <td>3080.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:31:00</th>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.36</td>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:32:00</th>\n",
       "      <td>3079.43</td>\n",
       "      <td>3079.68</td>\n",
       "      <td>3080.46</td>\n",
       "      <td>3079.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low\n",
       "Date                                                   \n",
       "2019-11-05 09:30:00  3080.80  3080.49  3081.47  3080.30\n",
       "2019-11-05 09:31:00  3080.33  3079.36  3080.33  3079.15\n",
       "2019-11-05 09:32:00  3079.43  3079.68  3080.46  3079.43"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:57:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3090.70</td>\n",
       "      <td>3091.02</td>\n",
       "      <td>3090.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:58:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3091.04</td>\n",
       "      <td>3091.13</td>\n",
       "      <td>3090.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:59:00</th>\n",
       "      <td>3091.16</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3090.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low\n",
       "Date                                                   \n",
       "2019-11-08 15:57:00  3090.73  3090.70  3091.02  3090.52\n",
       "2019-11-08 15:58:00  3090.73  3091.04  3091.13  3090.58\n",
       "2019-11-08 15:59:00  3091.16  3092.91  3092.91  3090.96"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idf = pd.read_csv('../data/SP500_NOV2019_IDay.csv',index_col=0,parse_dates=True)\n",
    "idf = idf.drop('Volume',axis=1) # Volume is zero anyway for this intraday data set\n",
    "idf.index.name = 'Date'\n",
    "idf.shape\n",
    "idf.head(3)\n",
    "idf.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = idf.loc['2019-11-06 09:30':'2019-11-06 16:00',:].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 594x459 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "close = df['Close']\n",
    "std = close.rolling(25).std()\n",
    "mav = close.rolling(25).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Upper'] = mav + (2*std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Lower'] = mav - (2*std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Upper</th>\n",
       "      <th>Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:30:00</th>\n",
       "      <td>3075.10</td>\n",
       "      <td>3074.12</td>\n",
       "      <td>3075.91</td>\n",
       "      <td>3073.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:31:00</th>\n",
       "      <td>3074.02</td>\n",
       "      <td>3073.59</td>\n",
       "      <td>3074.12</td>\n",
       "      <td>3073.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:32:00</th>\n",
       "      <td>3073.42</td>\n",
       "      <td>3071.78</td>\n",
       "      <td>3073.42</td>\n",
       "      <td>3071.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:33:00</th>\n",
       "      <td>3071.76</td>\n",
       "      <td>3072.03</td>\n",
       "      <td>3072.07</td>\n",
       "      <td>3071.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:34:00</th>\n",
       "      <td>3072.05</td>\n",
       "      <td>3071.20</td>\n",
       "      <td>3072.05</td>\n",
       "      <td>3071.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low  Upper  Lower\n",
       "Date                                                                 \n",
       "2019-11-06 09:30:00  3075.10  3074.12  3075.91  3073.90    NaN    NaN\n",
       "2019-11-06 09:31:00  3074.02  3073.59  3074.12  3073.21    NaN    NaN\n",
       "2019-11-06 09:32:00  3073.42  3071.78  3073.42  3071.74    NaN    NaN\n",
       "2019-11-06 09:33:00  3071.76  3072.03  3072.07  3071.25    NaN    NaN\n",
       "2019-11-06 09:34:00  3072.05  3071.20  3072.05  3071.12    NaN    NaN"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Upper</th>\n",
       "      <th>Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:56:00</th>\n",
       "      <td>3076.00</td>\n",
       "      <td>3076.22</td>\n",
       "      <td>3076.37</td>\n",
       "      <td>3075.75</td>\n",
       "      <td>3076.193602</td>\n",
       "      <td>3073.245598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:57:00</th>\n",
       "      <td>3076.15</td>\n",
       "      <td>3075.49</td>\n",
       "      <td>3076.15</td>\n",
       "      <td>3075.20</td>\n",
       "      <td>3076.249350</td>\n",
       "      <td>3073.313850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:58:00</th>\n",
       "      <td>3075.49</td>\n",
       "      <td>3075.54</td>\n",
       "      <td>3075.98</td>\n",
       "      <td>3075.49</td>\n",
       "      <td>3076.308519</td>\n",
       "      <td>3073.369881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:59:00</th>\n",
       "      <td>3075.69</td>\n",
       "      <td>3076.75</td>\n",
       "      <td>3076.79</td>\n",
       "      <td>3075.55</td>\n",
       "      <td>3076.565825</td>\n",
       "      <td>3073.326175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 16:00:00</th>\n",
       "      <td>3076.74</td>\n",
       "      <td>3076.73</td>\n",
       "      <td>3076.74</td>\n",
       "      <td>3076.72</td>\n",
       "      <td>3076.792462</td>\n",
       "      <td>3073.277938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low        Upper  \\\n",
       "Date                                                                   \n",
       "2019-11-06 15:56:00  3076.00  3076.22  3076.37  3075.75  3076.193602   \n",
       "2019-11-06 15:57:00  3076.15  3075.49  3076.15  3075.20  3076.249350   \n",
       "2019-11-06 15:58:00  3075.49  3075.54  3075.98  3075.49  3076.308519   \n",
       "2019-11-06 15:59:00  3075.69  3076.75  3076.79  3075.55  3076.565825   \n",
       "2019-11-06 16:00:00  3076.74  3076.73  3076.74  3076.72  3076.792462   \n",
       "\n",
       "                           Lower  \n",
       "Date                              \n",
       "2019-11-06 15:56:00  3073.245598  \n",
       "2019-11-06 15:57:00  3073.313850  \n",
       "2019-11-06 15:58:00  3073.369881  \n",
       "2019-11-06 15:59:00  3073.326175  \n",
       "2019-11-06 16:00:00  3073.277938  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ad2e9d860>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(figsize=(10,7.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Upper</th>\n",
       "      <th>Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:30:00</th>\n",
       "      <td>3075.10</td>\n",
       "      <td>3074.12</td>\n",
       "      <td>3075.91</td>\n",
       "      <td>3073.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:31:00</th>\n",
       "      <td>3074.02</td>\n",
       "      <td>3073.59</td>\n",
       "      <td>3074.12</td>\n",
       "      <td>3073.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:32:00</th>\n",
       "      <td>3073.42</td>\n",
       "      <td>3071.78</td>\n",
       "      <td>3073.42</td>\n",
       "      <td>3071.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low  Upper  Lower\n",
       "Date                                                                 \n",
       "2019-11-06 09:30:00  3075.10  3074.12  3075.91  3073.90    NaN    NaN\n",
       "2019-11-06 09:31:00  3074.02  3073.59  3074.12  3073.21    NaN    NaN\n",
       "2019-11-06 09:32:00  3073.42  3071.78  3073.42  3071.74    NaN    NaN"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Upper</th>\n",
       "      <th>Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:58:00</th>\n",
       "      <td>3075.49</td>\n",
       "      <td>3075.54</td>\n",
       "      <td>3075.98</td>\n",
       "      <td>3075.49</td>\n",
       "      <td>3076.308519</td>\n",
       "      <td>3073.369881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:59:00</th>\n",
       "      <td>3075.69</td>\n",
       "      <td>3076.75</td>\n",
       "      <td>3076.79</td>\n",
       "      <td>3075.55</td>\n",
       "      <td>3076.565825</td>\n",
       "      <td>3073.326175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 16:00:00</th>\n",
       "      <td>3076.74</td>\n",
       "      <td>3076.73</td>\n",
       "      <td>3076.74</td>\n",
       "      <td>3076.72</td>\n",
       "      <td>3076.792462</td>\n",
       "      <td>3073.277938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low        Upper  \\\n",
       "Date                                                                   \n",
       "2019-11-06 15:58:00  3075.49  3075.54  3075.98  3075.49  3076.308519   \n",
       "2019-11-06 15:59:00  3075.69  3076.75  3076.79  3075.55  3076.565825   \n",
       "2019-11-06 16:00:00  3076.74  3076.73  3076.74  3076.72  3076.792462   \n",
       "\n",
       "                           Lower  \n",
       "Date                              \n",
       "2019-11-06 15:58:00  3073.369881  \n",
       "2019-11-06 15:59:00  3073.326175  \n",
       "2019-11-06 16:00:00  3073.277938  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('../data/SP500_20191106_IDayBollinger.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 594x459 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.gca()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "dftest = pd.read_csv('../data/SP500_20191106_IDayBollinger.csv',index_col=0,parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Upper</th>\n",
       "      <th>Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:30:00</th>\n",
       "      <td>3075.10</td>\n",
       "      <td>3074.12</td>\n",
       "      <td>3075.91</td>\n",
       "      <td>3073.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:31:00</th>\n",
       "      <td>3074.02</td>\n",
       "      <td>3073.59</td>\n",
       "      <td>3074.12</td>\n",
       "      <td>3073.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 09:32:00</th>\n",
       "      <td>3073.42</td>\n",
       "      <td>3071.78</td>\n",
       "      <td>3073.42</td>\n",
       "      <td>3071.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low  Upper  Lower\n",
       "Date                                                                 \n",
       "2019-11-06 09:30:00  3075.10  3074.12  3075.91  3073.90    NaN    NaN\n",
       "2019-11-06 09:31:00  3074.02  3073.59  3074.12  3073.21    NaN    NaN\n",
       "2019-11-06 09:32:00  3073.42  3071.78  3073.42  3071.74    NaN    NaN"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Upper</th>\n",
       "      <th>Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:58:00</th>\n",
       "      <td>3075.49</td>\n",
       "      <td>3075.54</td>\n",
       "      <td>3075.98</td>\n",
       "      <td>3075.49</td>\n",
       "      <td>3076.308519</td>\n",
       "      <td>3073.369881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 15:59:00</th>\n",
       "      <td>3075.69</td>\n",
       "      <td>3076.75</td>\n",
       "      <td>3076.79</td>\n",
       "      <td>3075.55</td>\n",
       "      <td>3076.565825</td>\n",
       "      <td>3073.326175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-06 16:00:00</th>\n",
       "      <td>3076.74</td>\n",
       "      <td>3076.73</td>\n",
       "      <td>3076.74</td>\n",
       "      <td>3076.72</td>\n",
       "      <td>3076.792462</td>\n",
       "      <td>3073.277938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low        Upper  \\\n",
       "Date                                                                   \n",
       "2019-11-06 15:58:00  3075.49  3075.54  3075.98  3075.49  3076.308519   \n",
       "2019-11-06 15:59:00  3075.69  3076.75  3076.79  3075.55  3076.565825   \n",
       "2019-11-06 16:00:00  3076.74  3076.73  3076.74  3076.72  3076.792462   \n",
       "\n",
       "                           Lower  \n",
       "Date                              \n",
       "2019-11-06 15:58:00  3073.369881  \n",
       "2019-11-06 15:59:00  3073.326175  \n",
       "2019-11-06 16:00:00  3073.277938  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dftest.head(3)\n",
    "dftest.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2aceba67b8>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(figsize=(11,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
